India, Districtwise Population Growth vs Literacy[1]

*2011 data and boundaries
Sources:
[1] http://www.censusindia.gov.in/2011census/population_enumeration.html
[2] https://en.wikipedia.org/wiki/List_of_districts_in_India
[3] https://data.gov.in/catalog/district-wise-availability-health-centres-india-0

India

Population: 1,210,854,977
Literacy Rate (%): 74.04
Population Growth (%): 9.21

Plots

*2011 data and boundaries
Sources:
[1] http://www.censusindia.gov.in/2011census/population_enumeration.html
[2] https://en.wikipedia.org/wiki/List_of_districts_in_India

Data

Source:
[1]http://www.censusindia.gov.in/2011census/population_enumeration.html

Info

## R version 3.5.2 (2018-12-20)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 17134)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_United States.1252 
## [2] LC_CTYPE=English_United States.1252   
## [3] LC_MONETARY=English_United States.1252
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.1252    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] DT_0.8                   plotly_4.9.0            
##  [3] classInt_0.4-1           pals_1.5                
##  [5] maps_3.3.0               legendreverse_0.0.0.9000
##  [7] htmlwidgets_1.3          htmltools_0.3.6         
##  [9] leaflet.minicharts_0.5.4 leaflet.extras_1.0.0    
## [11] gdtools_0.2.0            raster_3.0-2            
## [13] ggmap_3.0.0              ggplot2_3.2.1           
## [15] leaflet_2.0.2            sp_1.3-1                
## [17] XLConnect_0.2-15         XLConnectJars_0.2-15    
## 
## loaded via a namespace (and not attached):
##  [1] httr_1.4.1              tidyr_0.8.3            
##  [3] viridisLite_0.3.0       jsonlite_1.6           
##  [5] shiny_1.3.2             assertthat_0.2.1       
##  [7] yaml_2.2.0              pillar_1.4.2           
##  [9] lattice_0.20-38         glue_1.3.1             
## [11] digest_0.6.20           manipulateWidget_0.10.0
## [13] promises_1.0.1          colorspace_1.4-1       
## [15] httpuv_1.5.1            plyr_1.8.4             
## [17] pkgconfig_2.0.2         purrr_0.3.2            
## [19] xtable_1.8-4            scales_1.0.0           
## [21] webshot_0.5.1           svglite_1.2.2          
## [23] jpeg_0.1-8              later_0.8.0            
## [25] tibble_2.1.3            withr_2.1.2            
## [27] lazyeval_0.2.2          magrittr_1.5           
## [29] crayon_1.3.4            mime_0.7               
## [31] evaluate_0.14           class_7.3-14           
## [33] data.table_1.12.2       tools_3.5.2            
## [35] RgoogleMaps_1.4.4       stringr_1.4.0          
## [37] munsell_0.5.0           compiler_3.5.2         
## [39] e1071_1.7-2             systemfonts_0.1.1      
## [41] rlang_0.4.0             grid_3.5.2             
## [43] dichromat_2.0-0         rjson_0.2.20           
## [45] crosstalk_1.0.0         miniUI_0.1.1.1         
## [47] leafem_0.0.1            bitops_1.0-6           
## [49] labeling_0.3            rmarkdown_1.15         
## [51] gtable_0.3.0            codetools_0.2-15       
## [53] R6_2.4.0                knitr_1.24             
## [55] dplyr_0.8.3             KernSmooth_2.23-15     
## [57] rJava_0.9-11            stringi_1.4.3          
## [59] Rcpp_1.0.2              mapproj_1.2.6          
## [61] png_0.1-7               rgl_0.100.30           
## [63] tidyselect_0.2.5        xfun_0.9